This article covers many of the fundamentals of analog video. Video is defined for our purposes here as "moving
pictures." Still imaging, like what is found in digital still cameras or scanners, is not covered. The requirements
for still imaging do have a lot in common with those for video, but the differences are significant enough to be
dealt with as a separate discipline.
In C Algorithms for Real-Time DSP, author Paul M. Embree presents a complete guide to digital signal processing techniques in the C programming language. This book is structured in such a way that it will be most useful to the engineer who is familiar with DSP and the C language, but who is not necessarily an expert in both. All of the example programs in this book have been tested using standard C compilers in the UNIX and MS-DOS programming environments. In addition, the examples have been compiled using the real-time programing tools of specific real-time embedded DSP microprocessors (Analog Devices ADSP-21020 and ADSP-21062 Texas Instruments TMS320C30 and TMS320C40 and AT&T DSP32C) and then tested with real-time hardware using real-world signals.
Digital Modulation Techniques are those echniques through which we convert digital signals into analog signal which can be transmitted through transmission medium...this program demostrate some of the basics techniques
Commercially available active noise control headphones rely on fixed analog controllers to drive "anti-noise" loudspeakers. Our design uses an adaptive controller to optimally cancel unwanted acoustic noise. This headphone would be particularly useful for workers who operate or work near heavy machinery and engines because the noise is selectively eliminated. Desired sounds, such as speech and warning signals, are left to be heard clearly. The adaptive control algorithm is implemented on a Texas Instruments (TI™ )
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TMS320C30GEL digital signal processor (DSP), which drives a Sony CD550 headphone/microphone system. Our experiments indicate that adaptive noise control results in a dramatic improvement in performance over fixed noise control. This improvement is due to the availability of high-performance programmable DSPs and the self-optimizing and tracking
capabilities of the adaptive controller in response to the surrounding noise.
Use the on-board potentiometer to simulate an analog input,this input converted into a meaningful digital value in a microcontroller register, and use a group of LED to display this value.
The design and manufacturing of wireless radio frequency (RF) transceivers has developed rapidly in recent ten
yeas due to rapid development of RF integrated circuits and the evolution of high-speed digital signal
processors (DSP). Such high speed signal processors, in conjunction with the development of high resolution
analog to digital converters and digital to analog converters, has made it possible for RF designers to digitize
higher intermediate frequencies, thus reducing the RF section and enhancing the overall performance of the RF
section.
