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Radar signal processor is the core part of a radar system, and radar signal processing is one of the most important field of real time signal processing with characteristic of mass data and large computation.
TI's high performance digital signal processor TMS320C6416 can achieve a very high processing rate due to its VLIW architecture and packed data processing support.
We must point out that, in every processing node, data transferring (including fetching and sending) and data processing should work synchronously, using the "ping pong processing mode"0 and Direct Memory Access (DMA) technique.
The major advantages of using RTOS include real-time processing capability , high reliable system performance, reduction of development duration, and efficient task management.

They found that abnormal grain growth leads to an increase in the elastic modulus by porosity reduction, and a strong decrease in the yield strength by grain growth.
Automated EBSD scans were performed in stage-control mode with TSL data acquisition software.
Determination of the T needs the knowledge of a function which may describe the unloading data satisfactorily.
In the case of the as-deposited specimen, the elastic modulus calculated by the model is a good agreement with measured data at approximately 2%, ratio of indentation depth to the sample thickness.
For the annealed specimen, the elastic modulus calculated by the model is a good agreement with measured data at approximately 3.5%, ratio of indentation depth to the sample thickness.

First, an open-loop experiment, for example a step test, is normally needed to get the required process data.
Second, approximations are involved in obtaining the process model g from the open-loop data.
The simplest is to directly obtain the controller from the closed-loop data, without explicitly obtaining an open-loop model g.
The main reason is that it is difficult in practice to obtain from experimental data accurate values of the overshoot and corresponding time if the overshoot is too small.
Simple analytic rules for model reduction and PID controller tuning, Journal of Process Control 13(2003)291-309

The processing of data provided by Decathlon [6] concerning lateral walking forces show a quasiperiodic behavior, with a typical right-left cycle like the one indicated in Fig. 1.
Experimental data lead to the values ofβ being between 0 and 10 [3].
Fig. 2- Walking speed vs. crowd density for different β values The second function 1≤)u(h & allows accounting for the influence of the lateral footbridge vibration on the crowd speed, in the sense that it imposes a speed reduction when pedestrians walk on a footbridge undergoing large oscillations.
The function )u(Sps & has two branches (Figure 3-b): the first one is a quadratic approximation of the ARUP data [1].
a) M/ηη u& b) Fig. 3- a) Coefficient )(Spp η , b) Coefficient )u(Sps & The previous definition of the synchronisation coefficient (Eq. 8) have some drawbacks: (i) the sum of two contributions is rather "artificial", (ii) the Spp coefficient is arbitrary and not based on experimental data, (iii) it is difficult to distinguish the effects in the case of a vibrating floor between the two synchronisations: the one between pedestrians and the other with the vibrations of the structure ; the synchronisation between pedestrians being induced by the synchronisation with the deck's vibrations.

S-E data and corresponding S-W plots as a function of incident positron energy at Vg= 0 V and Vg= -5V.
This indicates that the transportation of positrons to the aluminum gate electrode is suppressed because of reduction of depletion region by appearance of holes.
However, the data plotted in full circles in Fig. 3(d) can not superimpose to the data plotted in full circles in Fig.3(a).
Although positrons may pass through the SiO2/SiC interface, it seems to be difficult to consider that all positrons simply pass the SiO2 layer and annihilate at the gate material because of some incomprehensible phenomena [15]; for example differences of S-E data between MOSs fabricated by pyrogenic oxidation and that by dry oxidation.

Using the least squares algorithm to fit the difference expressions to actual phase difference data, obtained through a shearing interference measurement, the control points are obtained and the B-spline representation of the tested phase established.
Using the least square algorithm to fit the difference expressions to the phase differences data obtained by shearing interference measurement, the control points are achieved, so is the B-spline representation of the tested phase.
The proposed phase estimation algorithm was then applied to the two groups of difference data for phase reconstruction.
Fritz: Application of zernike polynomials to reduction of wave-front slope data, pp. 39-42, Optical Science Center, University of Arizona, 1977

To obtain data on the phase composition and specific surface area, dried to a constant weight at a temperature of 600°C (1 hour) and powdered manganese ore with 31.45 mg and 0.11 g, respectively, were used.
Adsorption and desorption isotherms for a sample of ferromanganese ore By mathematical processing of the data obtained by the method of polymolecular adsorption (the theory of Brunauer, Emmett and Teller – BET), a graphical dependency of Relative Pressure, P/P0 from 1/[W(P/P0-1)] is obtained, presented in Figure 4.
Table 2 presents data on the study of sorption of the gas mixture on manganese ore: Г=∆С∙V⸱Mm, (1) where Г – the value of sorption of manganese ore, the amount of grams of sorbent gas per kg of ore (g/kg); M – molar mass of gas, g/mol; ∆C – the difference between the initial and equilibrium concentrations, mol/l; V – the volume of the gas mixture, ml, V=200 ml; m – the weight of the ore sample,g.
As a result of the work, data on the phase composition and specific surface area of iron-manganese ore, as well as the content of physically and chemically bound water were obtained.
Bazhin, Improving the management process of the carbothermic reduction of metallurgical silicon, IOP Conf.

The Noise Reduction Coefficient (commonly abbreviated NRC) is a scalar representation of the amount of sound energy absorbed upon striking a particular surface.
Results and Discussion The data obtained in this experiment are given in the Table 1 as well as in the form of plots between the frequency (Hz) and sound absorption coefficients (α) in Fig. 2.
Frequency response function for both incident and reflected wave for this data are given in a form of sound pressure level (dB).
Calculations of the normal incident absorption coefficient for acoustical materials were performed by processing an array of complex data from the measured transfer function.
The data from incident and reflected component are used to determine sound absorption coefficient of tested material.

The pressure histories were collected and recorded by an internal circuit piezoelectric crystal pressure transducer (PCB 138M124), a sensor signal conditioner (PCB 482A16), and a data collecting instrument (JOVIAN 5200).The experiments were conducted in a Φ8 m×8 m rigid pool.
There is excessive oxygen in 4.6 MPa oxygen to burn all the reduction elements in TNT (without consideration of cab and booster) to their most highly oxidized products, but as shown in Table 2 that the afterburning energy released in 4.6 MPa oxygen (4.90 kJ·g－1) doesn’t reach the theoretical maximum value (10.4 kJ·g－1).
Reuslts show that the computations agree nicely with the experimental data—judged on the basis of initial peak pressure, waveforms and total impulse.
Comparison of pressure and impulse histories from numerical simulation with experimental data.
Bjarnholt, Suggestions on standards for measurement and data evaluation in the underwater explosion test, Propellants, Explos., Pyrotech. 5 (1980) 67-74

DSP engine, two 40 bits totalizer, the hardware to support division operation, barrel shifter, 17X17 bits multiplier, large 16 bits working register array and multiple data addressing mode support widely mathematical treatment to the central processing unit of DSPIC33 series.
Otherwise, the DM allows data transmission among many peripheral and special DMA RAM without CPU pending.
The data conversion rate is 6.25readings/s @50HZ and 7.5readings/s @60HZ of restraining mode.
Thermocouple voltage reduction will be transmitted by the ADC and MCU will convert the relative temperature.
Through the experimental data we can find out system measurement accuracy can reach less than ±0. 25 ℃.