Bandwidth Band

[Loren Swaggr]

I dont know how blender is working(different?) on Mac.
On pc in wire mode there is no connection between outer and inner geometry.
But you have to untick the checkbox.
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The EXA SSA01 is a wide bandwidth S-band antenna than can accommodate a bandwidth of up to 195 MHz for missions that need great speed and/or bandwidth separation capabilities and great flexibility on the final frequencies selection.

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It may refer more specifically to two subcategories: Passband bandwidth is the difference between the upper and lower cutoff frequencies of, for example, a band-pass filter, a communication channel, or a signal spectrum. Baseband bandwidth is equal to the upper cutoff frequency of a low-pass filter or baseband signal, which includes a zero frequency.

Bandwidth in hertz is a central concept in many fields, including electronics, information theory, digital communications, radio communications, signal processing, and spectroscopy and is one of the determinants of the capacity of a given communication channel.

A key characteristic of bandwidth is that any band of a given width can carry the same amount of information, regardless of where that band is located in the frequency spectrum.[a] For example, a 3 kHz band can carry a telephone conversation whether that band is at baseband (as in a POTS telephone line) or modulated to some higher frequency. However, wide bandwidths are easier to obtain and process at higher frequencies because the Fractional bandwidth is smaller.

Bandwidth is a key concept in many telecommunications applications. In radio communications, for example, bandwidth is the frequency range occupied by a modulated carrier signal. An FM radio receiver's tuner spans a limited range of frequencies. A government agency (such as the Federal Communications Commission in the United States) may apportion the regionally available bandwidth to broadcast license holders so that their signals do not mutually interfere. In this context, bandwidth is also known as channel spacing.

For other applications, there are other definitions. One definition of bandwidth, for a system, could be the range of frequencies over which the system produces a specified level of performance. A less strict and more practically useful definition will refer to the frequencies beyond which performance is degraded. In the case of frequency response, degradation could, for example, mean more than 3 dB below the maximum value or it could mean below a certain absolute value. As with any definition of the width of a function, many definitions are suitable for different purposes.

In the context of, for example, the sampling theorem and Nyquist sampling rate, bandwidth typically refers to baseband bandwidth. In the context of Nyquist symbol rate or Shannon-Hartley channel capacity for communication systems it refers to passband bandwidth.

In some contexts, the signal bandwidth in hertz refers to the frequency range in which the signal's spectral density (in W/Hz or V2/Hz) is nonzero or above a small threshold value. The threshold value is often defined relative to the maximum value, and is most commonly the 3 dB point, that is the point where the spectral density is half its maximum value (or the spectral amplitude, in V \displaystyle \mathrm V or V / H z \displaystyle \mathrm V/\sqrt Hz , is 70.7% of its maximum).[3] This figure, with a lower threshold value, can be used in calculations of the lowest sampling rate that will satisfy the sampling theorem.

The bandwidth is also used to denote system bandwidth, for example in filter or communication channel systems. To say that a system has a certain bandwidth means that the system can process signals with that range of frequencies, or that the system reduces the bandwidth of a white noise input to that bandwidth.

The 3 dB bandwidth of an electronic filter or communication channel is the part of the system's frequency response that lies within 3 dB of the response at its peak, which, in the passband filter case, is typically at or near its center frequency, and in the low-pass filter is at or near its cutoff frequency. If the maximum gain is 0 dB, the 3 dB bandwidth is the frequency range where attenuation is less than 3 dB. 3 dB attenuation is also where power is half its maximum. This same half-power gain convention is also used in spectral width, and more generally for the extent of functions as full width at half maximum (FWHM).

In electronic filter design, a filter specification may require that within the filter passband, the gain is nominally 0 dB with a small variation, for example within the 1 dB interval. In the stopband(s), the required attenuation in decibels is above a certain level, for example >100 dB. In a transition band the gain is not specified. In this case, the filter bandwidth corresponds to the passband width, which in this example is the 1 dB-bandwidth. If the filter shows amplitude ripple within the passband, the x dB point refers to the point where the gain is x dB below the nominal passband gain rather than x dB below the maximum gain.

The fact that in equivalent baseband models of communication systems, the signal spectrum consists of both negative and positive frequencies, can lead to confusion about bandwidth since they are sometimes referred to only by the positive half, and one will occasionally see expressions such as B = 2 W \displaystyle B=2W , where B \displaystyle B is the total bandwidth (i.e. the maximum passband bandwidth of the carrier-modulated RF signal and the minimum passband bandwidth of the physical passband channel), and W \displaystyle W is the positive bandwidth (the baseband bandwidth of the equivalent channel model). For instance, the baseband model of the signal would require a low-pass filter with cutoff frequency of at least W \displaystyle W to stay intact, and the physical passband channel would require a passband filter of at least B \displaystyle B to stay intact.

The absolute bandwidth is not always the most appropriate or useful measure of bandwidth. For instance, in the field of antennas the difficulty of constructing an antenna to meet a specified absolute bandwidth is easier at a higher frequency than at a lower frequency. For this reason, bandwidth is often quoted relative to the frequency of operation which gives a better indication of the structure and sophistication needed for the circuit or device under consideration.

While the geometric mean is more rarely used than the arithmetic mean (and the latter can be assumed if not stated explicitly) the former is considered more mathematically rigorous. It more properly reflects the logarithmic relationship of fractional bandwidth with increasing frequency.[5] For narrowband applications, there is only marginal difference between the two definitions. The geometric mean version is inconsequentially larger. For wideband applications they diverge substantially with the arithmetic mean version approaching 2 in the limit and the geometric mean version approaching infinity.

I am designing an algorithm that solves a linear system using the QR factorization, and the matrices I am dealing with are sparse and very large ($6000 \times 6000$). In order to improve the efficiency of the algorithm, I am trying to exploit the sparsity of the matrix by finding its bandwidth, but I have to run through the matrix a lot of times to find it, and it is taking too long.

As a sparse matrix is mostly made of zeros.Using a 2-dimensional array for all elements will be an inefficient way to represent such data as more than half of the array will be zeroes which is the reason for the increased time cost for finding bandwidth in your case.

What is even stranger to me is the fact that if I divide the circuit in two filter, a high pass filter (left side of the circuit) and a low pass filter (right side of the circuit), it works perfectly fine, both frequencies under 16KHz and above 32KHz are rejected.

There are two problems. Firstly, both filters are filtering a bit on the intended passband. In the middle of the passband both filters have 1.7 dB of attenuation, if you simulate them separately. Adding those together you get 3.4 dB attenuation.

Secondly, the second stage is loading the first stage. Output impedance of a passive filter is high, and the load connected to it must be much higher in order to not affect the filter. Now the second stage is the load for the first stage. Their impedances are in the same order of magnitude, thus the second stage affects the first stage. Increasing the impedance of the second stage mitigates this problem slightly.

I tried increasing the RI to 100k and reducing CI to 47.9 pF, which increases the impedance but keeps the frequency, and got exactly what is expected, -3.4dB at the middle of the passband. This doesn't fix the cut-off frequencies though.

Please let me know the system parameters such as data rate, frequency deviation, carrier frequency and also what sub-band you are going to operate in. We have just completed a design using CC1101-CC1190 operating at +18 dBm, 38.4 kbps that meets modulation bandwidth requirements when operating in sub-band g3 (869.4 - 869.65 MHz) so I am surprised you cannot get the CC1101EM to meet the requirements.

Thanks to your answer, I saw that you were right, I did an error onmy measurement. I considered modulation bandwidth, and after I did ashift from the modulation bandwith edge and not from the sub-band edgeof the application.

BTW: Even if carrier is at 868.3 MHz you should use the band edge at 868 MHz and 868.6 MHz as reference. That is, with 100 kHz RBW you need to measure less than -36 dBm for frequencies below 867 MHz and above 869.6 MHz. Similarly, for 868.1 and 868.5 MHz carrier. You need to measure less than -36 dBm for frequencies below 867 MHz and above 869.6 MHz.

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