Digital signal processing and applications with the OMAP-L138 eXperimenter /

"This is the most comprehensive text available on hands-on teaching of Digital Signal Processing, and the first book to feature the new floating point DSP development system to be promoted by the Texas Instruments University Program: the OMAP L138 eXperimenter and CCS v4 (which replaces the C67...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Reay, Donald (Donald S.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2012.
Temas:
Signal processing > Digital techniques > Experiments.
Microprocessors > Experiments.
Traitement du signal > Techniques numériques > Expériences.
SCIENCE > Waves & Wave Mechanics.
COMPUTERS > Information Theory.
TECHNOLOGY & ENGINEERING > Signals & Signal Processing.
Microprocessors > Experiments
Signal processing > Digital techniques > Experiments
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Digital signal processing and applications with the OMAP-L138 eXperimenter /  |c Donald Reay. 
260 |a Hoboken, N.J. :  |b Wiley,  |c ©2012. 
300 |a 1 online resource (xvii, 340 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a data file 
504 |a Includes bibliographical references and index. 
520 |a "This is the most comprehensive text available on hands-on teaching of Digital Signal Processing, and the first book to feature the new floating point DSP development system to be promoted by the Texas Instruments University Program: the OMAP L138 eXperimenter and CCS v4 (which replaces the C6713DSK). Using a practical approach, the book provides a large number of real-time example programs that use actual input and output signals and give visible and audible results. It is an excellent teaching aid for professors wishing to teach DSP via laboratory experiments and for students or engineers wishing to study DSP using the inexpensive OMAP L138 eXperimenter"--  |c Provided by publisher 
505 0 |a Digital Signal Processing and Applications with the OMAP-L138 eXperimenter; Contents; Preface; List of Examples; 1. OMAP-L138 Development System; 1.1 Introduction; 1.1.1 Digital Signal Processors; 1.2 Hardware and Software Tools; 1.2.1 Zoom OMAP-L138 eXperimenter Board; 1.2.2 C6748 Processor; 1.2.3 Code Composer Studio IDE; 1.2.4 Installation of Code Composer Studio Software Version 4 and Support Files; 1.3 Initial Test of the Experimenter Using a Program Supplied with this Book; 1.4 Programming Examples to Test the Experimenter; 1.5 Support Files. 
505 8 |a 1.5.1 Initialization and Configuration File (L138_aic3106_init.c)1.5.2 Header File (L138_aic3106_init.h); 1.5.3 Vector Files (vectors_intr.asm and vectors_poll.asm); 1.5.4 Linker Command File (linker_dsp.cmd); Exercises; References; 2. Analog Input and Output with the OMAP-L138 eXperimenter; 2.1 Introduction; 2.1.1 Sampling, Reconstruction, and Aliasing; 2.2 TLV320AIC3106 (AIC3106) On-Board Stereo Codec for Analog Input and Output; 2.3 Programming Examples Using C Code; 2.3.1 Real-Time Input and Output Using Polling, Interrupts, and Direct Memory Access; 2.3.2 Real-Time Sine Wave Generation. 
505 8 |a 4. Infinite Impulse Response Filters4.1 Introduction; 4.2 IIR Filter Structures; 4.2.1 Direct Form I Structure; 4.2.2 Direct Form II Structure; 4.2.3 Direct Form II Transpose; 4.2.4 Cascade Structure; 4.2.5 Parallel Form Structure; 4.3 Impulse Invariance; 4.4 Bilinear Transformation; 4.4.1 Bilinear Transform Design Procedure; 4.5 Programming Examples Using C and ASM Code; 4.5.1 Design of a Simple IIR Low-Pass Filter; Reference; 5. Fast Fourier Transform; 5.1 Introduction; 5.2 Development of the FFT Algorithm with Radix-2; 5.3 Decimation-In-Frequency FFT Algorithm with Radix-2. 
505 8 |a 5.4 Decimation-In-Time FFT Algorithm with RADIX-25.4.1 Reordered Sequences in the Radix-2 FFT and Bit-Reversed Addressing; 5.5 Decimation-In-Frequency FFT Algorithm with Radix-4; 5.6 Inverse Fast Fourier Transform; 5.7 Programming Examples Using C Code; 5.7.1 Frame- or Block-Based Processing; 5.7.2 Fast Convolution; References; 6. Adaptive Filters; 6.1 Introduction; 6.2 Adaptive Filter Configurations; 6.2.1 Adaptive Prediction; 6.2.2 System Identification or Direct Modeling; 6.2.3 Noise Cancellation; 6.2.4 Equalization; 6.3 Performance Function; 6.3.1 Visualizing the Performance Function. 
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650 0 |a Microprocessors  |x Experiments. 
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650 7 |a Signal processing  |x Digital techniques  |x Experiments  |2 fast 
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