DSP (digital signal processing) is affecting both industries and the future. Because of the high accuracy of DSP we see a series of DSPs books are published; however, only some of these books are comprehensive.
Most of the questions in Discrete-Time Signal Processing are a practical altogether; furthermore, neither teachers nor students opt fully theoretical books.
Every signal can be processed in two ways; continuous and discrete mode; besides, a Discrete mode has some positive factors; thus, at universities, one in ten of researchers is working with continuous mode.
For the better learning of DSP not only do we prepare a Discrete-Time Signal Processing book, but we also add a solution manual for that.
A number of books are available for DSPs; accordingly, it alludes what an important practical field it is.
What is a digital signal processor?
A digital signal processor (DSP) is a specialized microprocessor (or a SIP block), with its architecture optimized for the operational needs of digital signal processing.
The goal of digital DSP signal processors is usually to measure, filter or compress continuous real-world analog signals. Most general-purpose microprocessors can also execute digital signal processing algorithms successfully, but dedicated DSPs usually have better power efficiency thus they are more suitable in portable devices such as mobile phones because of power consumption constraints.
DSPs often use special memory architectures that are able to fetch multiple data or instructions at the same time.
Modern signal processors yield greater performance; this is due in part to both technological and architectural advancements like lower design rules, fast-access two-level cache, (E)DMA circuitry and a wider bus system. Not all DSPs provide the same speed and many kinds of signal processors exist, each one of them being better suited for a specific task, ranging in price from about US$1.50 to US$300.
Texas Instruments produces the C6000 series DSPs, which have clock speeds of 1.2 GHz and implement separate instruction and data caches. They also have an 8 MiB 2nd level cache and 64 EDMA channels. The top models are capable of as many as 8000 MIPS (instructions per second), use VLIW (very long instruction word), perform eight operations per clock-cycle and are compatible with a broad range of external peripherals and various buses (PCI/serial/etc). TMS320C6474 chips each have three such DSPs, and the newest generation C6000 chips support floating point as well as fixed point processing.
Freescale produces a multi-core DSP family, the MSC81xx. The MSC81xx is based on StarCore Architecture processors and the latest MSC8144 DSP combines four programmable SC3400 StarCore DSP cores. Each SC3400 StarCore DSP core has a clock speed of 1 GHz.
Title: Discrete-Time Signal Processing
Page Count: 1136
Author: Alan V. Oppenheim and Ronald W. Schafer
Edition number: 3
Publisher Name: Prentice Hall
Table of Contents for Discrete-Time Signal Processing;
- Discrete-time signals and systems
- The z-transform
- Sampling of continuous-time signals
- Transform analysis of linear time-invariant systems
- Structures for discrete-time systems
- Filter design techniques
- The discrete Fourier transform
- Computation of the discrete Fourier transform
- Fourier analysis of signals using the discrete Fourier transform
- Discrete Hilbert transforms
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