關于FPGA流水線設計的論文
This work investigates the use of very deep pipelines for
implementing circuits in FPGAs, where each pipeline
stage is limited to a single FPGA logic element (LE). The
architecture and VHDL design of a parameterized integer
array multiplier is presented and also an IEEE 754
compliant 32-bit floating-point multiplier. We show how to
write VHDL cells that implement such approach, and how
the array multiplier architecture was adapted. Synthesis
and simulation were performed for Altera Apex20KE
devices, although the VHDL code should be portable to
other devices. For this family, a 16 bit integer multiplier
achieves a frequency of 266MHz, while the floating point
unit reaches 235MHz, performing 235 MFLOPS in an
FPGA. Additional cells are inserted to synchronize data,
what imposes significant area penalties. This and other
considerations to apply the technique in real designs are
also addressed.
KPhoneIM is a simple point to point instant messaging application. You may chat with (exactly) one partner directly. The tool needs no server. It may be called from KPhoneSI as external session. Indeed, I develloped the tool mainly to demonstrate KPhoneSI s concept of external sessions!
Bing is a point-to-point bandwidth measurement tool (hence the b ), based on ping. Bing determines the real (raw, as opposed to available or average) throughput on a link by measuring ICMP echo requests roundtrip times for different packet sizes for each end of the link
AppWizard has created this DSX01 DLL for you. This DLL not only
demonstrates the basics of using the Microsoft Foundation classes but
is also a starting point for writing your DLL.
This getting started exercise will guide you through the step-by-step process of transforming a MATLAB floating-point model into a hardware module that can be implemented in silicon (FPGA or ASIC). The design is a general purpose FIR filter taken from the AccelDSP Examples directory.
This lab exercise will introduce you to AccelDSP’s floating- to fixed-point conversion features. AccelDSP will automatically generate a fixed-point representation of a floating-point design. This process is controllable by using quantize directives.
CCS編程環境 使用的是匯編加C的混合編程方法：
The programme of the Correlation Algorithm.
Using INT2 to get the input signal.
Array x, in first step, is the input signal produced by programme,
in next step, is the input signal get from A/D,
the length is 128, 32-bit floating point.
Array y, in first step, is the input signal produced by programme,
in next step, is the input signal get from A/D,
the length is 128, 32-bit floating point.
Array cor is the Correlation result, the length is 255, 32-bit floating point.
Developers use algorithms and data structures every day of their working lives. Having a good under-standing of these algorithms and knowledge of when to apply them is essential to producing softwarethat not only works correctly, but also performs efficiently.
This book aims to explain those algorithms and data structures most commonly encountered in day-to-day software development, while remaining at all times practical, concise, and to the point, with little orno verbiage to distract from the core concepts and examples.
To develop functional modules to process grayscale image intensity data. And perform Point and spatial operations. Uses Prewitt, Sobel, and Laplacian of Guassian Methods. And calculates their histograms.
A one-dimensional calibration object consists of three or more collinear points with known relative positions.
It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates
around a ¯ xed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general
rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration
is proposed，and then the linear estimation is further re¯ ned using the maximum likelihood criteria. The simulated and
real image experiments show that the proposed algorithm is valid and robust.
