Semiconductor IP: The semiconductor IP has emerged as a business model for the various semiconductor industries where these companies permits the customers to use their technology as intellectual property. Generally, the IP cores are developed by the third parties and then licensed to the semiconductor manufacturers.

The semiconductor IP market is completely different from the semiconductor manufacturing industries and it is growing twice faster than the overall semiconductor industry. This is due to the outsourcing of the core IP designs to the vendors by the semiconductor industries.

U.S. is the highest IP developer nation in the world and is currently leading the semiconductor IP in terms of vendors and semiconductor IPs. The idea of developing the IP from the vendors was also originated from USA only. Apart from USA, there are some other nations where the IP vendors are increasing rapidly i.e. China, Taiwan, Germany, France, Netherlands and many more.

MNCs like Synopsys and ARM (the semiconductor giants) dominates over the semiconductor market with a hold of 43.2% and 13.9% shares of their design IP revenue, respectively.

Nations with the least population growth are involved in the growing semiconductor market whereas, the largest democracy of the world i.e. India contributes only 2.4% to the global semiconductor market. What could be the reason behind it?

Though Indians acquire most critical and innovative ideas to develop and invent an extraordinary technology, still I was unable to find the name of any promising Indian semiconductor industry on Google.

Is the largest democracy in the world democratic by thought? Or they are compelled to think what the existing semiconductor players want them to think?

There is no doubt that the amount paid by the semiconductor companies to the designers and developers is more than their expectations and this is why the most innovative minds of the India are consolidated by the Europeans and Americans.

Earning is not a rocket science if you are an IP developer, but to give a name is really a thing that would matter for you as well as your nation.

Tags : Semiconductor Industry IP Market VLSI Company VLSI Industry VLSI

Author-Aman Jangra

(Manager at Silicon Mentor)

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Signal processing as the name suggests receiving signal and process them. Before we discuss about receiving and processing of signals we must know what is a signal? Definition of signal is a difficult task. Anything which carries information is a signal. For ex. Human voice, motion, gesture, Traffic light signal, etc.

Signal processing is an area which deals with the analysis (theory and practice) of analog and digital signal representing time domain or frequency varying physical quantity. Processing of signal mean to extract some useful information from the signal by electrical engineering and applied mathematics.

Signal Processing Subfields:

Analog Signal Processing

·Digital Signal Processing

·Discrete-time signal processing

Here we are describing most innovative and challenging field of signal processing which is the Digital Signal Processing.

Digital Signal Processing: Digital signal processing is to be applied mathematics manipulation of digitized discrete signal. There are number of processors used for processing and these may be ASICs, FPGAs, or special DSP processers. Here, firstly information which is analog signal received by the antenna is filtered and sampled and then it is to be converted in digital with ADC and DAC. So, Digital signal processing is more complex than analog signal processing, but due to high computational power, high error rate correction and data compression, Digital Signal Processing has more advantages over analog processing.

Digital Signal Processing Applications: DSP has a wide variety of application because it’s programmable. You can create your own application specific processors with FPGA prototyping or ASICs (Which required foundry supports) and software. Secure and fast signal transmission is possible for large data with the help of compression security, fast digitized computation.

Here are the few applications of digital signal processing,

Digital Image processing (Feature extraction, Pattern recognition, Multi scale Analysis)

Audio Signal Processing (storage, level compression, data compression, transmission, enhancement)

Image /Video compression (MPEG, VC-2, JPEG-2000, H.263/64/65)

Digital Communication (LDPC, FEC Codes, Cryptography, AES)

Biomedical Imaging & Signaling Analysis (MRI, CAT, ECG, EEG, Cardiac Pacemaker, Brain Chip, Artificial Eye)

Speech recognition (Automatic translation, Hands-free computing, home automation, multimodal interaction, robotics, speech-to-text reporter).

Digital Signal Processing Research Area: As far as we all know DSP has a wide range of algorithm for specialized computing for different-different applications. The DSP team at SiliconMentor operates the largest and unique research program for budding & innovative engineers from all over the worlds.

This program provides a strong knowledge and foundation in various aspects of DSP. In this program Silicon Mentor team covers fundamental of Digital Signal Processing, signal processing for biomedical, Image analysis for Biomedical and Multimedia applications, Pattern recognition and feature extraction for artificial intelligence and computer vision.

DSP research areas:

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Fig.Shown on the top is a circuit diagram of a NAND gate in CMOS logic. If both of the A and B inputs are high, then both the NMOS transistors (bottom half of the diagram) will conduct, neither of the PMOS transistors (top half) will conduct, and a conductive path will be established between the output and Vss (ground), bringing the output low. If either of the A or B inputs is low, one of the NMOS transistors will not conduct, one of the PMOS transistors will, and a conductive path will be established between the output and Vdd (voltage source), bringing the output high.

An advantage of CMOS over NMOS is that both low-to-high and high-to-low output transitions are fast since the pull-up transistors have low resistance when switched on, unlike the load resistors in NMOS logic. In addition, the output signal swings the full voltage between the low and high rails. This strong, more nearly symmetric response also makes CMOS more resistant to noise.

Netlist

*CMOS 2-INPUT NAND GATE

Tags : NAND gate NMOS CMOS NMOS PMOS SPICE Training

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