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1996 - vector quantization

Abstract: No abstract text available
Text: Low-Delay Vector Quantization Voice Coder by D2 Technologies, Inc. Software Overview D2's Low-Delay Vector Quantization (LDVQ) voice coder algorithm module compresses either linear or codec voice data to 16 kbps at significantly lower complexity than the ITU standard G.728 coder. The quality of the LDVQ meets the "toll quality" requirements of speech applications. Designed to the VP Open interface, the LDVQ voice coder module easily integrates with other VP Open modules, runs in realtime


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PDF VDS50 TMS320C5x TMS320C2xx EVM50 vector quantization
1997 - gsm based digital notice board project report

Abstract: GSM code by matlab vector quantization CL30 TMS320 TMS320C30 Speech Signal Processing matlab noise celp coding 1995 EVMC30 cl30 vectors c
Text: . 20 Vector Quantization (VQ) of Spectral Parameters . 20 , quantized (scalar or vector quantization ). From the coefficients obtained in the Linear Prediction , and is well suited for fixed-point implantations.7 Vector Quantization (VQ) of Spectral Parameters , respectively. To reduce the complexity of the vector quantization on n bits, a two step method is used: Step 1: The prequantizer performs a vector quantization on a small number of bits m (m


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PDF TMS320C30 SPRA315 TMS320 gsm based digital notice board project report GSM code by matlab vector quantization CL30 Speech Signal Processing matlab noise celp coding 1995 EVMC30 cl30 vectors c
1996 - CELP RELP MELP Vocoder

Abstract: vocoder lpc 10 LPC-10e G-722 FS1016 g.723 OROS-CD16 RELP IS-54 TMS320
Text: C1x/C2x/C3x/C5x D2 D2 D2 Low-Delay Vector Quantization Voice Coder Multi-Rate VQ Voice , / Synthesis or Transmit / Receive 2 Coder/Decoder D2 Low-Delay Vector Quantization Voice Coder Vector Quantization Voice Coder VQ DSPSE DSPSE C5x (est) C2xx (est) C5x (est) C2xx (est , .729 test vector 30/22 34 Verified with G.729 test vector Full-duplex real-time capability on a


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PDF smc350 TMS320 60-MHz 721/G LPC10e CELP RELP MELP Vocoder vocoder lpc 10 LPC-10e G-722 FS1016 g.723 OROS-CD16 RELP IS-54
wavelet

Abstract: C6201 TMS320C6201 vector quantization Daubechies wavelet filter Daubechies filter integer
Text: transform. 1. Introduction Advanced lossy image compression algorithms utilizing vector quantization [1 , data should be processed next after the current block is done. The basis of vector quantization , scalar quantization , the results can be extended to vector quantization algorithm without loss of , . 4. 5. 6. 7. 8. 9. 10. A. Gersho, and R.M. Gray, Vector Quantization and Signal Compression , (clustering) them by some vector (centroid vector ). Fig. 1 shows six blobs that form similar vectors. If the


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PDF MS-3102 2048x4096 TMS320C6201 wavelet C6201 TMS320C6201 vector quantization Daubechies wavelet filter Daubechies filter integer
1996 - LPC-10e

Abstract: CELP RELP MELP Vocoder vocoder g.729 celp coding FS1016 IS-54 TMS320 G-722 vocoder lpc 10 vocoder
Text: C1x/C2x/C3x/C5x D2 D2 D2 Low-Delay Vector Quantization Voice Coder Multi-Rate VQ Voice , / Synthesis or Transmit / Receive 2 Coder/Decoder D2 Low-Delay Vector Quantization Voice Coder Vector Quantization Voice Coder VQ DSPSE DSPSE C5x (est) C2xx (est) C5x (est) C2xx (est , .729 test vector 30/22 34 Verified with G.729 test vector Full-duplex real-time capability on a


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PDF smc350 TMS320 60-MHz 721/G LPC10e LPC-10e CELP RELP MELP Vocoder vocoder g.729 celp coding FS1016 IS-54 G-722 vocoder lpc 10 vocoder
2005 - BroadVoice16

Abstract: perceptual audio
Text: , but in a CELP codec rather than an NFC codec. Due to the required Vector Quantization (VQ) of , quality at a lower encoding rate for the prediction residual, vector quantization will need to be used. 4. VECTOR QUANTIZATION OF RESIDUAL A "chicken-and-egg" problem will arise when attempting to , feedback filter structure to calculate the resulting quantization error vector q(n) for each of the , ) as the input signal and the quantization error vector q(n) as the output signal. According to the


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verilog code for speech recognition

Abstract: block diagram of speech recognition using matlab circuit diagram of speech recognition block diagram of speech recognition vhdl code for speech recognition VHDL audio codec ON DE2 simple vhdl de2 audio codec interface VHDL audio processing codec DE2 Speech Signal Processing matlab noise vhdl code for voice recognition
Text: performs vector quantization using a vector codebook. The resulting vectors form the observation sequence , , feature vector extraction, vector quantization , Baum-Welch modeling, and averaging, which outputs the , Quantization A codebook of size 128 is obtained by vector quantizing the weighted cepstral coefficients of all reference digits generated by all users. The advantages of vector quantization are: Reduced storage for , efficient. One obvious disadvantage of vector quantization is the reduced resolution in recognition


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2007 - bv32

Abstract: G.729.1 G.729D BV16 BroadVoice16 hindi ma MA HINDI thyssen pesq G722
Text: wideband codec. BroadVoice is based on two-stage noise feedback coding with vector quantization of , significantly affecting clear channel quality. 6. EXCITATION VECTOR QUANTIZATION BV16 and BV32 encode the , coding paradigm with efficient vector quantization of the excitation signal. With low delay, low , the range of 15 to 40 ms. In addition, to achieve low codec complexity, efficient vector quantization (VQ) techniques [5], [6] were developed for BroadVoice, and the rest of the codec design strived


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PDF BroadVoice16 BroadVoice32 BroadVoice32, BroadVoice16 I-681 I-684, bv32 G.729.1 G.729D BV16 hindi ma MA HINDI thyssen pesq G722
1997 - FS1016

Abstract: bpra070 C.E.L.P 24 v MSP58C80 Z0810 FS-1016 celp coding celp coding 1995 233236
Text: .7 3.3 Stochastic Codebook Vector quantization .10 , and only do the exact calculation for them. 3.3 Stochastic Codebook Vector quantization Once we have , quantization which preserves high quality at low data rates at the expense of complexity. The vector , the vector quantization . In addition this coding technique is of extremely low complexity. On the , set of filter coefficients per frame and using vector quantized codebooks to represent the excitation


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PDF MSP58C80 BPRA070 FS1016 bpra070 C.E.L.P 24 v MSP58C80 Z0810 FS-1016 celp coding celp coding 1995 233236
1997 - autocorrelation

Abstract: TMS32OC3x speech recognition speech recognition system speech memory TMS320 viterbi algorithm SPRU053B
Text: . 15 Vector Quantization , , parameter measurement, vector quantization , veterbi algorithm, and results. This work was supported by the , Real-time Speech Recognition Systems Using the TMS320C3x/4x 15 SPRA314 Vector Quantization In , . 21 Cycles for a Longer Cepstral Vector , window shift size of codebooks vector dimension number of states number of obs. n. of models


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PDF TMS320C3x/C4x SPRA314 TMS320C3x TMS32OC3x autocorrelation speech recognition speech recognition system speech memory TMS320 viterbi algorithm SPRU053B
1996 - melp

Abstract: LPC10e FS1016 dod 404
Text: efficient through highly-optimized vector quantization . Fourier magnitude coefficients have been added to


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PDF TMS320C3x melp LPC10e FS1016 dod 404
1996 - TMS320

Abstract: "space vector" tms320 tms320 third-party Texas Instruments Cross Reference
Text: speech encoding, vector quantization , software/hardware design, and system analysis. This book


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PDF TMS320 TMS320C1x, "space vector" tms320 tms320 third-party Texas Instruments Cross Reference
1996 - Not Available

Abstract: No abstract text available
Text: Multi-Rate VQ Voice Coder by D2 Technologies, Inc. Software Overview D2's Multi-Rate Vector Quantization (MRVQ) voice coder algorithm module compresses either linear or codec voice data to bit rates of 5.2 kbps to 9.6 kbps at significantly lower complexity than any voice coders at comparable bit rates and speech quality. The quality of the MRVQ voice coder is "sub-toll," but meets the requirements of almost all speech applications. The speech is highly intelligible and the quality is very


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PDF VDS50 TMS320C5x TMS3202xx.
1999 - Intel Processors

Abstract: autocorrelation Parallel FIR Filter image processor linear convolution Transforms Least-mean-square adaptive filters viterbi convolution
Text: BLAS - Basic Linear Algebra Subprograms (Fortran interface) - BLAS Level 1 (basic vector operations , ) CBLAS (C interface to the BLAS package) Extended BLAS for performing vector operations on sparse , ยท vector operations: arithmetic, logical, threshold, square root, standard deviation, exponential , Mahalanobis distance, Gaussian mixtures multi-layer perceptron (MLP) functions clustering and vector quantization functions Kohonen networks dynamic time warping hidden Markov models: Viterbi, Baum-Welch, and


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PDF USA/2K/0598/JM, Intel Processors autocorrelation Parallel FIR Filter image processor linear convolution Transforms Least-mean-square adaptive filters viterbi convolution
2006 - evrc

Abstract: pesq pcm hindi ma G.729D BroadVoice16 hindi pesq G729D MA HINDI thyssen
Text: shaping in a novel two-stage nested structure of TSNFC, and (ii) replacing scalar quantization by vector , noise feedback filter in the form [9] of E. Excitation Vector Quantization a ( 8 Fs ( z ) = , quantization error vector q(n) is selected [1]. As shown in [8], the codebook search complexity can be greatly reduced by decomposing the quantization error vector q(n) into the zero-input response (ZIR) and , ], [7] use scalar quantization to quantize the prediction residual, and usually the NFC principle is


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PDF BroadVoice16 I-684, evrc pesq pcm hindi ma G.729D BroadVoice16 hindi pesq G729D MA HINDI thyssen
1997 - H.261

Abstract: Video controller TMS320C80 videostream decoders 1995 jpeg codec mean absolute difference TMS320C80 H.261 encoder chip H261
Text: Transform coefficients TR Temporal reference VC Vector quantization VC Video controller VLC Variable-length coding VQ Vector quantization A-2 SPRA161 Texas Instruments , . . . . . . . . . . . . . . . 3 2.1 Transform, Quantization , and Run-Length Encoding . . . . . . . , . . . . . . . . . . . . . . . . 4.5 Adaptive Quantization . . . . . . . . . . . . . . . . . . . . . , since they are both needed for real-time videophone applications. Other coding schemes, such as vector


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PDF TMS320C80 SPRA161 H.261 Video controller TMS320C80 videostream decoders 1995 jpeg codec mean absolute difference H.261 encoder chip H261
1997 - TMS320C80

Abstract: H.261 encoder chip H261 TMS320C82 mpeg coder audio layer 2 at&t video decoder mpeg
Text: Transform coefficients TR Temporal reference VC Vector quantization VC Video controller VLC Variable-length coding VQ Vector quantization A-2 SPRA161 IMPORTANT NOTICE , . . . . . . . . . . . . . . . 3 2.1 Transform, Quantization , and Run-Length Encoding . . . . . . . , . . . . . . . . . . . . . . . . 4.5 Adaptive Quantization . . . . . . . . . . . . . . . . . . . . . , since they are both needed for real-time videophone applications. Other coding schemes, such as vector


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PDF TMS320C80 SPRA161 H.261 encoder chip H261 TMS320C82 mpeg coder audio layer 2 at&t video decoder mpeg
1997 - ti 261

Abstract: PX-64 motion camera h261 TMS320C80 TMS320C82 Video controller TMS320C80 H.261 encoder chip mean absolute difference H.261 decoder chip
Text: Transform coefficients TR Temporal reference VC Vector quantization VC Video controller VLC Variable-length coding VQ Vector quantization A-2 SPRA161 IMPORTANT NOTICE , . . . . . . . . . . . . . . . 3 2.1 Transform, Quantization , and Run-Length Encoding . . . . . . . , . . . . . . . . . . . . . . . . 4.5 Adaptive Quantization . . . . . . . . . . . . . . . . . . . . . , since they are both needed for real-time videophone applications. Other coding schemes, such as vector


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PDF TMS320C80 SPRA161 ti 261 PX-64 motion camera h261 TMS320C82 Video controller TMS320C80 H.261 encoder chip mean absolute difference H.261 decoder chip
1990 - verilog code for speech recognition

Abstract: vhdl code for speech recognition circuit diagram of speech recognition block diagram of speech recognition vhdl code for voice recognition speech to text recognition vhdl vhdl code hamming block diagram of speech recognition using matlab SPEECH RECOGNITION by matlab verilog code hamming
Text: for recognition. Vector quantization (VQ) was used for reducing the memory requirement. We used , accuracy. Vector Quantization A codebook of size 128 is obtained by the VQ of the weighted cepstral , . Assigning a codebook index to an input speech vector amounts to quantizing it. This results in quantization , LPF Block into Frames NA Wc(n) Vector Quantization Cepstral Weighting MA LPC , vector quantization Finding the index of the nearest code book (in an Euclidian sense) vector for


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1996 - Linear predictive coding analyzer

Abstract: AD50 IS-54 TLC32044 TMS320C51 TR45 LPC1-LPC10 C.E.L.P 24 v "complementary code"
Text: code book search Second basis vector code book search Vector quantization of the code book gains 1 , excitation vector are jointly optimized using a vector quantization table. The development of the quantization procedure can be found in [1]. The parameters required for the joint vector quantization of the , Instruments Incorporated Introduction TIA subcommittee TR45.3 has adopted vector sum excited linear , VSELP. There are seven basis vectors for each search. Each basis vector contains 40 elements. The


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PDF TMS320C5x SPRA136 Linear predictive coding analyzer AD50 IS-54 TLC32044 TMS320C51 TR45 LPC1-LPC10 C.E.L.P 24 v "complementary code"
1996 - VSELP

Abstract: SPRA136 AD50 IS-54 TLC32044 TMS320C51 TR45 LPC1-LPC10 Vector Control Scheme of a IM "complementary code"
Text: code book search Second basis vector code book search Vector quantization of the code book gains 1 , excitation vector are jointly optimized using a vector quantization table. The development of the quantization procedure can be found in [1]. The parameters required for the joint vector quantization of the , Instruments Incorporated Introduction TIA subcommittee TR45.3 has adopted vector sum excited linear , VSELP. There are seven basis vectors for each search. Each basis vector contains 40 elements. The


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PDF TMS320C5x SPRA136 VSELP SPRA136 AD50 IS-54 TLC32044 TMS320C51 TR45 LPC1-LPC10 Vector Control Scheme of a IM "complementary code"
1996 - code excited linear predictive

Abstract: LPC1-LPC10 spra136 Zero-state Response vector quantization vocoder lpc 10 ASSP-27 TLC32044 IS-54 TMS320C51
Text: code book search Second basis vector code book search Vector quantization of the code book gains 1 , excitation vector are jointly optimized using a vector quantization table. The development of the quantization procedure can be found in [1]. The parameters required for the joint vector quantization of the , Instruments Incorporated Introduction TIA subcommittee TR45.3 has adopted vector sum excited linear , VSELP. There are seven basis vectors for each search. Each basis vector contains 40 elements. The


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PDF TMS320C5x SPRA136 code excited linear predictive LPC1-LPC10 spra136 Zero-state Response vector quantization vocoder lpc 10 ASSP-27 TLC32044 IS-54 TMS320C51
1996 - SPRA136

Abstract: AD50 IS-54 TLC32044 TMS320C51 TR45 motorola rf book "complementary code"
Text: code book search Second basis vector code book search Vector quantization of the code book gains 1 , excitation vector are jointly optimized using a vector quantization table. The development of the quantization procedure can be found in [1]. The parameters required for the joint vector quantization of the , Instruments Incorporated Introduction TIA subcommittee TR45.3 has adopted vector sum excited linear , VSELP. There are seven basis vectors for each search. Each basis vector contains 40 elements. The


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PDF TMS320C5x SPRA136 SPRA136 AD50 IS-54 TLC32044 TMS320C51 TR45 motorola rf book "complementary code"
1995 - Maxlinear

Abstract: intel286 vector quantization hmm mfcc coefficient quantization
Text: Vector Operations Dynamic Programming Signal Processing Miscellaneous Functions Recognition , . 2-13 Chapter 3 Vector Operations Vector Initialization Functions , . 3-7 SetNibble. 3-8 Vector , . 3-33 Max. 3-34 Vector , . 5-14 MLPerceptron . 5-14 Vector


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2000 - fpi bus

Abstract: GPO-3 vector quantization
Text: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Vector Quantization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . , traps and debug breakpoints. Full control and handling of the 240 interrupts vector space is done by an , /verification with move operations. The interrupt vector block's location is set arbitrarily and the bootstrap


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