Nt1310 Unit 5 Algorithm

The Vedic multiplier is depends on the “UrdhvaTiryagbhyam” sutra (algorithm). These Sutras have been traditionally used for the multiplication of two numbers in the decimal number system. In this work, we apply the same ideas to the binary number system to make the proposed algorithm compatible with the digital hardware. It is a general multiplication formula applicable to all cases of multiplication. It literally means “Vertically and Crosswise”. It is based on a novel concept through which the generation of all partial products can be done with the concurrent addition of these partial products. The algorithm can be generalized for n x n bit number. Since the partial products and their sums are calculated in parallel, the multiplier is independent of the clock frequency of the processor. Due to its regular structure, it can be easily layout in microprocessors and designers can easily circumvent these problems to avoid catastrophic device failures. The processing power of multiplier can easily be increased by increasing the input and output data bus widths since it has a quite a regular structure. Due to its regular structure, it can be easily layout in a silicon chip. The Multiplier based on this sutra has the advantage that as the number of bits increases, gate delay and area increases very slowly as compared to other conventional

This project is designed to make the FPGA as a Calculator that receives two four bit binary numbers and do four different operations on those two numbers. The four operations are addition, subtraction, division, and XOR (bit wise operation). The project is designed with top model and sub modules. Moreover, when the user enters the two inputs in binary the result will display in decimal except for the last operation which is the bit wise (XOR) that should be displayed in binary. The only challenge part that I wasn’t able to fix is I have very long code because I saved the result from add, subtract, and multiplication in a register and had to do check from 0-225 cases and that’s how I can display the binary numbers on the FPGA board.

Level 1 :As per the Considered Data Sets: (Generated nearby values through Rough Data Sets Theory  Produces)

1.19)Ans.The interrupts are used to indicate events like change in events or if any error occurs or freeing of resources or I/o

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A 32-bit program can process 32 bits of data at once enabling a 32-bit program to do all calculations in one operation. This speeds the processing of your data.

We were assigned to construct a software that utilizes a classification algorithm that is able to accurately decide a correct classification for a certain sequence of inputs that were provided by the user. The input is to be classified based on a known training set of records of the same attributes as the sequence provided by the user.

In this section we first briefly explain the properties of a first-order Delta Sigma modulated bit-stream. Based on these properties, we propose the P-N pair method to process the Delta Sigma modulated bit-streams.

After algorithm 1, we get the DI matrix. We artificially choose a value T near 1(such as 0.8) as the threshold of DI. The label matrix R is then generated by this threshold T.

Inter symbol interference (ISI) is avoided by assuming the duration of cyclic long enough and furthermore the channel is assumed to be stationary within one symbol period ( h(k)=hr ).

In order to evaluate the performance of the proposed DCHS algorithm, we compare MILP with the energy consumption and delay constrained routing protocol.

The term computer arithmetic refers to the arithmetic operation performed by the computer system. These arithmetic operations take place via a series of micro-operation, known as arithmetic micro-operations. These micro-operations take place by the use of Arithmetic Logical Unit (A.L.U).This circuit is further composed of two units. The arithmetic Unit and the logical unit composed of logic gates, multiplexers, wires and other logical circuit elements

The fundamental operations involved in any Digital systems are addition and multiplication. Addition is an indispensible operation in any Digital, Analog, or Control system. Fast and accurate operation of digital system depends on the performance of adders[1]. The main function of adder is to speed up the addition of partial products generated during multiplication operation. Hence improving the speed by reduction in area is the main area of research in VLSI system design. Over the last decade many types of adder

In the green communications context, this lower limit gives the minimal transmit energy per bit required for reliable communication. Consequently, the efficiency of green communication systems can be measured using the bit-per-Joule (bit/J) metric~\cite{CHEN10, LI11}. This performance metric has been studied taking into account various aspects both with pragmatic and information theoretic approaches~\cite{BELM10}. All communication layers are concerned~\cite{AYAD11, SEAH10} and the cross-layer approach~\cite{MIAO09} is useful for the holistic treatment of the energy consumption

By Tribuvan Kumar Prakash Bachelor of Engineering in Electronics and Communication Engineering Visveswaraiah Technological University, Karnataka, 2004. August 2007