By Sen M. Kuo
Real-time electronic sign Processing: Implementations and purposes has been thoroughly up-to-date and revised for the 2d variation and continues to be the one e-book on DSP to supply an summary of DSP thought and programming with hands-on experiments utilizing MATLAB, C and the most recent fixed-point processors from Texas tools (TI).
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Additional info for Real-Time Digital Signal Processing: Implementation and Application
These high-performance DSP processors are typically used in high-end video and radar systems, communication infrastructures, wireless base stations, and high-quality real-time video encoding systems. 3 Fixed- and Floating-Point Processors A basic distinction between DSP processors is the arithmetic formats: fixed-point or floating-point. This is the most important factor for the system designers to determine the suitability of a DSP processor for a chosen application. The fixed-point representation of signals and arithmetic will be discussed in Chapter 3.
Fixed-point DSP devices are usually cheaper and faster than their floating-point counterparts because they use less silicon, have lower power consumption, and require fewer external pins. Most high-volume, low-cost embedded applications, such as appliance control, cellular phones, hard disk drives, modems, audio players, and digital cameras, use fixed-point processors. Floating-point arithmetic greatly expands the dynamic range of numbers. A typical 32-bit floatingpoint DSP processor, such as the TMS320C67x, represents numbers with a 24-bit mantissa and an 8-bit 16 INTRODUCTION TO REAL-TIME DIGITAL SIGNAL PROCESSING exponent.
Asm and then halted at the location where the function main( ) is. c, and watch the values of the CPU registers change. Move the cursor to different locations in the code and try the Run to Cursor command (hold down the
Real-Time Digital Signal Processing: Implementation and Application by Sen M. Kuo