i use pigeons for shipping. for eritrean orders sometimes badgers and weasels. of course i’m kidding, i would never use badgers. bats by night and weasels by day . right away. that’s why we don’t accept orders from above the arctic circle (Y not?). bats will be exhausted.exhausted. at least the weasels don’t complain .
for oceania orders and all maritime countries – except holland – we take great pride in using custom made bottles. no we don’t. i don’t know why i said that. they’re all regular bottles, from very good years though.
now pay attention, this concerns you oceanic people , and you maritime people : the part of almost disassembly required – because we heat up the cd till it’s soft and roll it nicely then get it in the bottle, when you un-roll the cd you absolutely have to use the exact same temperature as we do otherwise wrinkles may appear on cd’s surface. so it’s tricky; ‘bet you’re not so happy now for living in the sunny oceania are you? worry i say ! you want them pigeons your way, but that would be just wrong, to get a pigeon in a bottle without food for so many days. not to mention they don’t really roll-up that nice. they always try to resist somehow. but i digress. the only thing to remember is that pigeons may be tense but they are still nature’s children!
for orders in Keren (Eritrea) i could use your cat if you’re afraid of weasels, just send it out with a backpack on and i’ll take care of the rest. if the cat still looks disoriented attach a beeper on it’s collar then re-release it. and that’s how you should have released it in the first place if you ask me. oh. my bats are using 121.4 KHz [ Myotis Nattereri ] , so go figure for the appropriate beeper . if you must do your own research you might find helpful our set-up and list of equipment from earlier experiments . [following]
./. We used two different recording methods. Initially, we used
an UltraSound Advice (USA; UltraSound Advice, London,
UK) S-25 bat detector (frequency response of microphone
20–120 kHz ±3 dB) linked to a USA portable ultrasonic
processor (PUSP). The PUSP, when triggered by the user as a
bat flew past the microphone, digitised a 2 s sequence of sound.
Sequences were sampled at 448 kHz with eight-bit precision
and time-expanded by ten times before being recorded to a
Sony WD6 Professional Walkman. Calls were digitised to
computer using the BatSound software (Pettersson Elektronik
AB, Uppsala, Sweden) at a sampling rate of 44.1 kHz (effective
rate 441 kHz) using the standard sound card contained in a
Toshiba Satellite Pro laptop computer (model 4080XCDT,
Toshiba of Europe, London, UK). From early 1999, we
digitised echolocation calls directly to the laptop computer
(i.e. not time-expanded). Using the S-25 bat detector, coupled
to a National Instruments PCMCIA format analogue-todigital
(A/D) conversion board (model AI-16E-4; National
Instruments, Austin, TX, USA), 5 s sequences of sound wereacquired.
Calls were digitised, when the system was triggered
by the user, using BatSound, at a sampling rate of 500 kHz,
with 12-bit precision.
Using BatSound, we chose for further analysis a single call
that had the highest signal-to-noise ratio without being
overloaded from each sequence. Calls were transferred to
MatLab v5.3 (Mathworks, Natick, MA, USA) for further
analysis. A mid-pass (10–150 kHz) tenth-order Butterworth
filter was applied to the signals and the envelope of each
created using a Hilbert transform of the waveform. Envelopes
were subsequently scaled between 0 and 1. Using the point
where the envelope rose above and then subsequently dropped
below an arbitrary threshold value, the call was removed from
the rest of the signal. All calls were extracted from the
background noise using the same arbitrary threshold value
(0.003). Call duration (Durtn) was defined as the duration of
the extracted waveform. The frequency with most energy (FmaxE)
was measured from a power spectrum. As the duration
of calls varied both inter- and intraspecifically, the number of
points used for the Fast Fourier Transformation (FFT) was set
to be the closest power of two larger than the total number of
points in the call. A Hamming window was applied to the call
before the FFT was calculated. The resulting power spectrum
was smoothed to 1024 points, allowing the frequency with
most energy from calls of different durations to be compared,
giving a frequency resolution of 430 Hz and 488 Hz for signals
digitised at 441 kHz and 500 kHz respectively. No call was
shorter than 1024 points. [ I hope this helps ]
or i can use a postal service.