Note: CD-ROM is not included.
In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today's engineering fields because of the demand for high performance, low-cost digital signal processors in many applications from digital cellular phones and high-speed Internet access, to image processing, and multimedia streaming.
Fully revised and updated, Real-Time Digital Signal Processing: Implementations and Applications, Second Edition takes a wholly practical approach, providing essential information on real-time principles, DSP algorithm development, and system design and implementation. With eight new chapters analyzing the latest DSP applications, this book also includes a wealth of exercises, laboratory experiments and programming examples using MATLAB, C, and assembly languages for Texas Instrument's TMS320C55xx processor.
Key features:
* Focuses on effective software development process from algorithm design and validation, to floating-point evaluation, fixed-point simulation, C55xx intrinsics, and code optimization with efficient assembly language implementation.
* Describes widely used DSP applications such as DTMF generation and detection, echo cancellation, noise reduction, speech coding, channel coding, audio processing, and image processing.
* Introduces Texas Read more... Categories
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Posted: February 19th, 2008, 2:06pm CET
Tags: RealTime Digital Signal Processing Implementations [edit]
Note: CD-ROM is not included.
In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today's engineering fields because of the demand for high performance, low-cost digital signal processors in many applications from digital cellular phones and high-speed Internet access, to image processing, and multimedia streaming.
Fully revised and updated, Real-Time Digital Signal Processing: Implementations and Applications, Second Edition takes a wholly practical approach, providing essential information on real-time principles, DSP algorithm development, and system design and implementation. With eight new chapters analyzing the latest DSP applications, this book also includes a wealth of exercises, laboratory experiments and programming examples using MATLAB, C, and assembly languages for Texas Instrument's TMS320C55xx processor.
Key features:
* Focuses on effective software development process from algorithm design and validation, to floating-point evaluation, fixed-point simulation, C55xx intrinsics, and code optimization with efficient assembly language implementation.
* Describes widely used DSP applications such as DTMF generation and detection, echo cancellation, noise reduction, speech coding, channel coding, audio processing, and image processing.
* Introduces Texas Read more... Full download
Posted: February 17th, 2008, 2:08pm CET
Tags: RealTime Digital Signal Processing Implementations [edit]
Note: CD-ROM is not included.
In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today's engineering fields because of the demand for high performance, low-cost digital signal processors in many applications from digital cellular phones and high-speed Internet access, to image processing, and multimedia streaming.
Fully revised and updated, Real-Time Digital Signal Processing: Implementations and Applications, Second Edition takes a wholly practical approach, providing essential information on real-time principles, DSP algorithm development, and system design and implementation. With eight new chapters analyzing the latest DSP applications, this book also includes a wealth of exercises, laboratory experiments and programming examples using MATLAB, C, and assembly languages for Texas Instrument's TMS320C55xx processor.
Key features:
* Focuses on effective software development process from algorithm design and validation, to floating-point evaluation, fixed-point simulation, C55xx intrinsics, and code optimization with efficient assembly language implementation.
* Describes widely used DSP applications such as DTMF generation and detection, echo cancellation, noise reduction, speech coding, channel coding, audio processing, and image processing.
* Introduces Texas Read more... Full download
FreeBookSpot Latest Books
-
Posted: February 17th, 2008, 2:08pm CET
Tags: RealTime Digital Signal Processing Implementations [edit]
Note: CD-ROM is not included.
In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today's engineering fields because of the demand for high performance, low-cost digital signal processors in many applications from digital cellular phones and high-speed Internet access, to image processing, and multimedia streaming.
Fully revised and updated, Real-Time Digital Signal Processing: Implementations and Applications, Second Edition takes a wholly practical approach, providing essential information on real-time principles, DSP algorithm development, and system design and implementation. With eight new chapters analyzing the latest DSP applications, this book also includes a wealth of exercises, laboratory experiments and programming examples using MATLAB, C, and assembly languages for Texas Instrument's TMS320C55xx processor.
Key features:
* Focuses on effective software development process from algorithm design and validation, to floating-point evaluation, fixed-point simulation, C55xx intrinsics, and code optimization with efficient assembly language implementation.
* Describes widely used DSP applications such as DTMF generation and detection, echo cancellation, noise reduction, speech coding, channel coding, audio processing, and image processing.
* Introduces Texas Read more... Full download