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Produktbild: Ogunfunmi, T: Principles of Speech Coding

Ogunfunmi, T: Principles of Speech Coding

Fr. 243.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.05.2010

Abbildungen

schwarz-weiss Illustrationen, Tabellen, schwarz-weiss

Verlag

Taylor and Francis

Seitenzahl

381

Maße (L/B/H)

23.5/15.6/2.5 cm

Gewicht

680 g

Sprache

Englisch

ISBN

978-0-8493-7428-9

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.05.2010

Abbildungen

schwarz-weiss Illustrationen, Tabellen, schwarz-weiss

Verlag

Taylor and Francis

Seitenzahl

381

Maße (L/B/H)

23.5/15.6/2.5 cm

Gewicht

680 g

Sprache

Englisch

ISBN

978-0-8493-7428-9

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  • Produktbild: Ogunfunmi, T: Principles of Speech Coding
  • Introduction to Speech CodingSpeech SignalsCharacteristics of Speech SignalsModeling of SpeechSpeech AnalysisSpeech CodingVarieties of Speech CodersMeasuring Speech QualityCommunication Networks and Speech CodingPerformance Issues in Speech Communication SystemsSummary of Speech Coding Standards Fundamentals of DSP for Speech Processing Introduction to LTI Systems Review of Digital Signal Processing Review of Stochastic Signal ProcessingResponse of a Linear System to a Stochastic Process InputWindowing AR Models for Speech Signals, Yule–Walker EquationsShort-Term Frequency (or Fourier) Transform and Cepstrum PeriodogramsSpectral Envelope Determination for Speech SignalsVoiced/Unvoiced Classification of Speech SignalsPitch Period Estimation Methods Sampling TheoryNyquist Sampling Theorem Reconstruction of the Original Signal: Interpolation FiltersPractical ReconstructionAliasing and In-Band DistortionEffect of Sampling Clock JitterSampling and Reconstruction of Random Signals Waveform Coding and QuantizationQuantization Quantizer Performance Evaluation Quantizer Transfer Function Quantizer Performance under No-Overload Conditions Uniform Quantizer Nonuniform Quantizer Logarithmic Companding Segmented Companding LawsITU G.711 μ-Law and A-Law PCM StandardsOptimum Quantization Adaptive Quantization Differential CodingClosed-Loop Differential Quantizer Generalization to Predictive Coding ITU G.726 ADPCM AlgorithmLinear DeltamodulationAdaptive Deltamodulation Linear PredictionProperties of the Autocorrelation Matrix, R 136Relation between Linear Prediction and AR ModelingAugmented Wiener Hopf Equations for Forward PredictionBackward Prediction-Error FilterAugmented Wiener Hopf Equations for Backward PredictionLD Recursion Linear Predictive CodingLinear Predictive CodingLPC-10 Federal StandardIntroduction to CELP-Based Coders Vector Quantization for Speech Coding ApplicationsReview of Scalar QuantizationVector QuantizationLloyd’s Algorithm for Vector Quantizer DesignThe Linde–Buzo–Gray AlgorithmPopular Search Algorithms for VQ Quantizer DesignOther Suboptimal Algorithms for VQ Quantizer DesignApplications in Standards Analysis-by-Synthesis Coding of SpeechCELP AbS StructureCase Study Example: FS 1016 CELP CoderCase Study Example: ITU-T G.729/729A Speech Coder Internet Low-Bit-Rate CoderInternet Low-Bit-Rate Codec .242iLBC’s Encoding Process 245iLBC’s Decoding Process 250iLBC’s PLC Techniques 253iLBC’s Enhancement Techniques 254iLBC’s Synthesis and Postfiltering 257MATLAB’s Signal Processing Blockset iLBC Demo ModelPESQEvolution from PSQM/PSQM + TO PESQPESQ AlgorithmPESQ Applications Signal Processing in VoIP Systems PSTN and VoIP NetworksEffect of Delay on the Perceived Speech QualityLine ECANsAcoustic ECANsJitter BuffersClock SkewPacket Loss Recovery Methods Real-Time DSP Implementation of ITU-T G.729/A Speech CoderITU-T G.729/A Speech Coding StandardTI TMS320C6X DSP ProcessorsTI’s RF and DSP Algorithm StandardG.729/A on RF3 on the TI C6X DSPRunning the RF3 Example on EVMRF3 Resource RequirementsDetails of Our ImplementationMigrating ITU-T G.729/A to RF3 and the EVMOptimizing G.729/A for Real-Time Execution on the EVMReal-Time Performance for Two ChannelsChecking the Test Vectors on the EVMGoing Beyond a Two-Channel Implementation Conclusions and Future Directions for Speech CodingSummaryFuture Directions for Speech Research References Index