1996  vector quantization
Abstract: No abstract text available
Text: LowDelay Vector Quantization Voice Coder by D2 Technologies, Inc. Software Overview D2's LowDelay 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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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 fixedpoint 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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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 LPC10e G722 FS1016 g.723 OROSCD16 RELP IS54 TMS320
Text: C1x/C2x/C3x/C5x D2 D2 D2 LowDelay Vector Quantization Voice Coder MultiRate VQ Voice , / Synthesis or Transmit / Receive 2 Coder/Decoder D2 LowDelay 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 Fullduplex realtime capability on a

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smc350
TMS320
60MHz
721/G
LPC10e
CELP RELP MELP Vocoder
vocoder lpc 10
LPC10e
G722
FS1016
g.723
OROSCD16
RELP
IS54

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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MS3102
2048x4096
TMS320C6201
wavelet
C6201
TMS320C6201
vector quantization
Daubechies wavelet filter
Daubechies filter integer

1996  LPC10e
Abstract: CELP RELP MELP Vocoder vocoder g.729 celp coding FS1016 IS54 TMS320 G722 vocoder lpc 10 vocoder
Text: C1x/C2x/C3x/C5x D2 D2 D2 LowDelay Vector Quantization Voice Coder MultiRate VQ Voice , / Synthesis or Transmit / Receive 2 Coder/Decoder D2 LowDelay 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 Fullduplex realtime capability on a

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smc350
TMS320
60MHz
721/G
LPC10e
LPC10e
CELP RELP MELP Vocoder
vocoder g.729
celp coding
FS1016
IS54
G722
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 "chickenandegg" 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 , BaumWelch 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 twostage 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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BroadVoice16
BroadVoice32
BroadVoice32,
BroadVoice16
I681
I684,
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 FS1016 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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MSP58C80
BPRA070
FS1016
bpra070
C.E.L.P 24 v
MSP58C80
Z0810
FS1016
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 , Realtime 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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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 highlyoptimized vector quantization . Fourier magnitude coefficients have been added to

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TMS320C3x
melp
LPC10e
FS1016
dod 404

1996  TMS320
Abstract: "space vector" tms320 tms320 thirdparty Texas Instruments Cross Reference
Text: speech encoding, vector quantization , software/hardware design, and system analysis. This book

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TMS320
TMS320C1x,
"space vector" tms320
tms320 thirdparty
Texas Instruments Cross Reference

1996  Not Available
Abstract: No abstract text available
Text: MultiRate VQ Voice Coder by D2 Technologies, Inc. Software Overview D2's MultiRate 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 "subtoll," but meets the requirements of almost all speech applications. The speech is highly intelligible and the quality is very

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VDS50
TMS320C5x
TMS3202xx.

1999  Intel Processors
Abstract: autocorrelation Parallel FIR Filter image processor linear convolution Transforms Leastmeansquare 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 multilayer perceptron (MLP) functions clustering and vector quantization functions Kohonen networks dynamic time warping hidden Markov models: Viterbi, BaumWelch, and

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USA/2K/0598/JM,
Intel Processors
autocorrelation
Parallel FIR Filter
image processor
linear convolution
Transforms
Leastmeansquare 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 twostage 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 zeroinput response (ZIR) and , ], [7] use scalar quantization to quantize the prediction residual, and usually the NFC principle is

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BroadVoice16
I684,
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 Variablelength coding VQ Vector quantization A2 SPRA161 Texas Instruments , . . . . . . . . . . . . . . . 3 2.1 Transform, Quantization , and RunLength Encoding . . . . . . . , . . . . . . . . . . . . . . . . 4.5 Adaptive Quantization . . . . . . . . . . . . . . . . . . . . . , since they are both needed for realtime videophone applications. Other coding schemes, such as vector

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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 Variablelength coding VQ Vector quantization A2 SPRA161 IMPORTANT NOTICE , . . . . . . . . . . . . . . . 3 2.1 Transform, Quantization , and RunLength Encoding . . . . . . . , . . . . . . . . . . . . . . . . 4.5 Adaptive Quantization . . . . . . . . . . . . . . . . . . . . . , since they are both needed for realtime videophone applications. Other coding schemes, such as vector

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

1997  ti 261
Abstract: PX64 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 Variablelength coding VQ Vector quantization A2 SPRA161 IMPORTANT NOTICE , . . . . . . . . . . . . . . . 3 2.1 Transform, Quantization , and RunLength Encoding . . . . . . . , . . . . . . . . . . . . . . . . 4.5 Adaptive Quantization . . . . . . . . . . . . . . . . . . . . . , since they are both needed for realtime videophone applications. Other coding schemes, such as vector

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TMS320C80
SPRA161
ti 261
PX64
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 IS54 TLC32044 TMS320C51 TR45 LPC1LPC10 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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TMS320C5x
SPRA136
Linear predictive coding analyzer
AD50
IS54
TLC32044
TMS320C51
TR45
LPC1LPC10
C.E.L.P 24 v
"complementary code"

1996  VSELP
Abstract: SPRA136 AD50 IS54 TLC32044 TMS320C51 TR45 LPC1LPC10 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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TMS320C5x
SPRA136
VSELP
SPRA136
AD50
IS54
TLC32044
TMS320C51
TR45
LPC1LPC10
Vector Control Scheme of a IM
"complementary code"

1996  code excited linear predictive
Abstract: LPC1LPC10 spra136 Zerostate Response vector quantization vocoder lpc 10 ASSP27 TLC32044 IS54 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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TMS320C5x
SPRA136
code excited linear predictive
LPC1LPC10
spra136
Zerostate Response
vector quantization
vocoder lpc 10
ASSP27
TLC32044
IS54
TMS320C51

1996  SPRA136
Abstract: AD50 IS54 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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TMS320C5x
SPRA136
SPRA136
AD50
IS54
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 , . 213 Chapter 3 Vector Operations Vector Initialization Functions , . 37 SetNibble. 38 Vector , . 333 Max. 334 Vector , . 514 MLPerceptron . 514 Vector

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2000  fpi bus
Abstract: GPO3 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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